OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry

Angelica Arioli; Arianna Dagliati; Bethany Geary; Niels Peek; Philip A. Kalra; Anthony D. Whetton; Nophar Geifman

doi:10.1371/journal.pone.0249771

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Open Access

Peer-reviewed

Research Article

OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry

Angelica Arioli,

Roles Formal analysis, Methodology, Writing – original draft

Affiliation Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
⨯
Arianna Dagliati,

Roles Conceptualization, Investigation, Methodology, Supervision, Writing – review & editing

Affiliations Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy, Division of Informatics, Imaging, and Data Science, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
⨯
Bethany Geary,

Roles Formal analysis, Investigation, Writing – review & editing

Affiliation Division of Cancer Sciences, Stoller Biomarker Discovery Centre, Manchester, United Kingdom
⨯
Niels Peek,

Roles Investigation, Writing – review & editing

Affiliations Division of Informatics, Imaging, and Data Science, School of Health Sciences, The University of Manchester, Manchester, United Kingdom, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
⨯
Philip A. Kalra,

Roles Funding acquisition, Investigation, Resources, Writing – review & editing

Affiliation Salford Royal NHS Foundation Trust, Salford, United Kingdom
⨯
Anthony D. Whetton,

Roles Conceptualization, Investigation, Resources, Writing – review & editing

Affiliations Division of Cancer Sciences, Stoller Biomarker Discovery Centre, Manchester, United Kingdom, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
⨯
Nophar Geifman

Roles Conceptualization, Investigation, Resources, Writing – review & editing

* E-mail: nophar.geifman@manchester.ac.uk

Affiliation Division of Informatics, Imaging, and Data Science, School of Health Sciences, The University of Manchester, Manchester, United Kingdom

https://orcid.org/0000-0003-2956-6676

⨯

OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry

Angelica Arioli,
Arianna Dagliati,
Bethany Geary,
Niels Peek,
Philip A. Kalra,
Anthony D. Whetton,
Nophar Geifman

Published: April 15, 2021
https://doi.org/10.1371/journal.pone.0249771

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